Real-time speech analytics for contact centers: every call transcribed, categorized and searchable — in any language, seconds after it ends.

Largely the same thing under two names. Speech analytics is the contact-center term: recorded calls turned into transcripts, topics, keywords and metrics such as silence and talk time, so the team sees what happens across all calls instead of the few someone listens to. Conversation intelligence is the same idea named by the sales world — calls and meetings, coaching, deal context. Ender Turing does both on one set of conversations; this page describes what it makes of the words that were said.

Yes, on both sides of the call. The analytics runs in real time: each conversation is transcribed, summarized, categorized and scored seconds after it ends, and dashboards, funnels and boards update as it arrives — on 100% of calls, not a sample. During the call, a separate Ender Turing product gives agents real-time suggestions; ask us about it when you sign up.

Yes. Topics classify what each conversation was about and what stage it reached — including intent categories you define, learned by generative AI from your own samples. The built-in CSAT Dynamics and Interaction Intensity analyses read how the customer's satisfaction and the intensity of the exchange moved from the start of the call to its end, and appear as boards when the data is there.

Any language. English, Spanish, Portuguese, French, German, Polish, Ukrainian, Arabic, Chinese, Japanese and more run in production; any other is added on request or connected through your own speech-recognition engine. Custom vocabulary corrects the product, company and agent names speech recognition tends to get wrong.

Three things you can check rather than take on trust: a free plan and transparent per-seat pricing instead of an enterprise quote; generative answers — you ask the week a question and get an answer with the calls cited — instead of building queries; and topics and scorecards whose accuracy is measured against your own reviewers and improved from their reviews. The connections are read-only, so it sits next to the platform you have.

Read the CallMiner vs Verint vs Medallia comparison →

Both, on the same conversations. The analytics layer on this page — transcripts, topics, tags, metrics, funnels — describes what happened. The quality layer scores it: AutoQA answers your scorecard on every call, with its accuracy shown per criterion. One workspace, one set of conversations, two views on them.

Yes. Conversations are calls, chats, emails and web records, on the same filters, topics, scorecards and dashboards, so a customer who called and then wrote appears as one story rather than two systems.

Through a documented app or connector — Genesys Cloud, Five9, Zendesk, Fireflies, GoHighLevel — through the Ender Turing browser extension that records browser-based calls on 18 platforms, or through the REST API, an SFTP export or upload. Nothing is written back into your platform.

The platform is built to run without an analyst: standard templates for your case are installed on sign-up, topics learn from samples, dashboards and reports arrive on a schedule, and the Business plan adds implementation engineers who set up connectors and scorecards with you. If you want a partner to run the whole analysis for you, write to us and we introduce one.

Ender Turing has completed a SOC 2 Type II examination and handles data in a GDPR-compliant way on every plan; Enterprise adds private cloud or on-premise deployment. Anonymization redacts configured sensitive words in transcripts and masks the matching audio; Roles decide who can open which team's conversations.